结论我们的方法可有效地清除刺激伪迹。
Conclusions the method can be effectively used in the stimulus artifact removal.
颧骨弓处盘状电极减少了活化和伪迹干扰。
Activation and artifact were reduced in EEG record with zygomatic reference electrode.
提出了一种新计算方法来去除多微电极技术记录到的刺激伪迹。
The present study has described a novel method to suppress the stimulus artifacts in multi-electrode array systems.
其中降低眼电伪迹的干扰则是脑电信号预处理中的一个核心过程。
This EEG acquisition process: a corresponding number of independent thinking, EEG acquisition process work.
为防止高振幅的刺激伪迹造成的误触发，本仪器还具有伪迹抑制功能。
On the other hand, to prevent a wrong trigger which might be induced by the stimulus artifact…
为防止高振幅的刺激伪迹造成的误触发，本仪器还具有伪迹抑制功能。
On the other hand, to prevent a wrong trigger which might be induced by the stimu…
结论：准确识别脑电图伪迹对提高癫痫诊断的准确率具有重要的临床价值。
Conclusion: The accurate discernment of artifact of EEG was important clinical valuable in increasing accurate rate of diagnosis of epilepsy.
结果：耳垂参考电极有活化现象和伪迹干扰，但波幅高，中线两侧脑波失真较少。
Results: Activation and artifact were occurred in EEG record with earlobe reference electrode, but its wave amplitude was higher and bilateral brain wave of median line was more accurate.
通过与利用利多卡因阻断视神经后所记录到的伪迹相比较，可以证明这种方法是有效的。
By comparing with the artifacts recorded after the optic nerve was blocked by lidocaine, it is proved that this method is effective.
在简要分析ICA理论及其算法的基础上，提出将其应用到脑电中的眼电伪迹的去除任务。
Based on the brief introductions of ICA theory and algorithm, we apply ICA to the removal of ocular artifacts from EEG recordings.
方法采用时-频域识别方法，根据TEOAE与刺激伪迹不同的短时谱特征来有效识别两者。
Methods Time-frequency domain method was used to effectively recognize TEOAEand stimulating artifact by their different short time Fourier transformation (STFT).
第二章介绍了脑电产生的基本原理，并详细阐述了脑电波形的组成及其特点和伪迹的由来和特性。
In the chapter 2, it introduces basic theory of EEG's origin, illuminates composition and characteristic of brain wave, and origin and characteristic of artifacts.
本文作者认为等离子体轰击高聚物表面引起的局部高温是离子刻蚀后试样表面出现伪迹的重要原因。
The authors think that the high temperature on polymer local surface produced by ion bombardment is the main cause of artifacts on sample surface treated by ion-etching.
目的：为提高动态脑电图对癫痫的诊断的准确率、阳性率，准确识别脑电图伪迹，以防误诊或漏诊。
Objectives: to increase accurate rate, positive rate of AEEG in diagnosis of epilepsy and distinguish accurately artifact of EEG so as to prevent misdiagnosis and missed diagnosis.
目的将三源ct精确重建算法应用到动态重建的场合，用于抑制心脏或呼吸运动在CT成像中产生的伪迹。
Objective to reduce the artifacts produced by cardiac or respiratory motion, through the application of exact reconstruction algorithm with triple-source ct in dynamic reconstruction.
利用ICA方法对实测脑电信号中的心电伪迹和工频噪声进行了消除，成功去除噪声并保留脑电信号的特征不变。
ECG artifact and power noise are successfully removed from the origanal EEG signal with the ICA method with no harm to the details of EEG signals.
若直接用多色投影数据来重建图像，就会出现射束硬化伪迹，这种硬化伪迹如果不校正就会影响医学诊断和工业检测的结果。
Once this kind of data is used to reconstruct the image directly, beam-hardening artifacts appear in the reconstructed image.
若直接用多色投影数据来重建图像，就会出现射束硬化伪迹，这种硬化伪迹如果不校正就会影响医学诊断和工业检测的结果。
Once this kind of data is used to reconstruct the image directly, beam-hardening artifacts appear in the reconstructed image.
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